Proactive dynamic virtual-machine consolidation for energy conservation in cloud data centres
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Cites methods from "Proactive dynamic virtual-machine c..."
...Dynamic consolidation frameworks typically consist of many overlapped domains [5], which have been divided into five main subsystems, of which the workload prediction subsystem uses a clustering process, VM and user behaviour estimation, prediction window size, and forecasting process....
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References
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"Proactive dynamic virtual-machine c..." refers background in this paper
...The advantage of such approach is better to load balancing and less prone to bottleneck [10, 141]....
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3,186 citations
"Proactive dynamic virtual-machine c..." refers background or methods in this paper
...In other words, the Np hard bin-packing problem principle is based on local best decision to pack a series of VMs having specified sizes into a least possible number of PMs [40]....
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...Significant research has been done to improve bin-backing algorithms, like those used by CloudSim [18], Chowdhury et al [40] and Farahnakian et al [60]....
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...The basic K-means-described in Algorithm 1-works as follows [167]: K-means has been used by Dabbagh et al [44] and Chowdhury et al [40] to create a set of clusters to group all types of VM requests....
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...Chowdhury et al [40] and Farahnakian et al [60]....
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...Bin-packing [40] CPU and memory Redesign CloudSim...
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2,511 citations
"Proactive dynamic virtual-machine c..." refers background or methods in this paper
...Dynamic provisioning-based energy consumption can represent the most efficient methods to improve the utilization of the resources and reduce energy [1, 14, 19]....
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...VM Selection is the process of selecting one or more VMs from the full set of VMs allocated to the server and the future predicted new VMs, which must be located or reallocated to other servers [19]....
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